A Novel QoS Predication Approach Based on Regression Algorithm

摘要：

Recently, as an important way of software applications, web services technology developed rapidly. As many web services provide the same functionality, quality of service (QoS) has become an important criterion for service selection. However, the QoS value provided by service provider is being tested in an ideal runtime, regardless of the effect of the actual load and different service time. This paper uses web service runtime period and service load as criteria, considers QoS historical data, and proposes a novel real-time QoS predication approach based on dualistic linear regression algorithm, which could be used to select the optimal web services. Experiments demonstrate the efficiency of the approach.

关键词： Web Service QoS QoS predication Regression algorithm

作者: Yuliang Shi Kun Zhang Bing Liu Qingzhong Li

作者单位: School of Computer Science and Technology Shandong University Jinan, China

会议类型: 国际会议

会议名称: 2010 Seventh Web Information System and Applications Conference(第七届全国web信息系统及其应用学术会议)

会议地点: 呼和浩特

会议语种:英文

页码: 208-211

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）